Download Mathematical Epidemiology of Infectious Diseases: Model Building, Analysis and Interpretation PDF EPUB
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Pages: 320
Size: 865,24 Kb
Publication Date: April 7,2000
Category: Forensic Medicine
Mathematical Epidemiology of Infectious Diseases Model Building, Evaluation and Interpretation O. Diekmann University of Utrecht, HOLLAND J. Previous contact with epidemic ideas is not needed, as all background details is given. The reserve is primarily targeted at self-study and preferably fitted to small discussion groupings, or for make use of as a program text. Heesterbeek Center for Biometry Wageningen, HOLLAND The mathematical modelling of epidemics in populations is certainly a huge and important region of study. It really is about translating biological assumptions into mathematics, about mathematical evaluation aided by interpretation and about obtaining insight into epidemic phenomena when translating mathematical outcomes back into people biology. Model assumptions are developed in terms of, generally stochastic, behaviour of people and the resulting phenomena, at the populace level, are unravelled. Conceptual clearness can be attained, assumptions are mentioned clearly, hidden operating hypotheses are attained and mechanistic links between different observables are uncovered. Features:
* Model construction, evaluation and interpretation receive comprehensive interest
* Uniquely addresses both deterministic and stochastic viewpoints
* Types of applications provided throughout
* Extensive insurance of the most recent research in to the mathematical modelling of epidemics of infectious illnesses
* Offers a solid base of modelling abilities
The reader will figure out how to translate, model, analyse and interpret, by using the many exercises. The written text is aimed at used mathematicians with an intention in populace biology and epidemiology, at theoretical biologists and epidemiologists. Furthermore, the reader receives trained in mathematical argumentation. In actually working through this textual content, the reader acquires modelling abilities that are also useful beyond epidemiology, certainly within inhabitants dynamics, but actually beyond that. A. P.